Data ontology is crucial for leveraging vast amounts of information in today's fast-paced world. It involves components like concepts glossary, hierarchy, attributes, relationships, and constraints, and it helps organizations make sense of data from different parts of the organization. Developing an ontology involves defining scope, concepts, hierarchy, properties, relationships, constraints, and generating specific instances. It's important to remember that ontology development is a dynamic process.